María Martin
- Computational Theory and Mathematics top 0.5%
- Computational Drug Discovery Methods 6
- Molecular Biology top 2%
- Genomics and Phylogenetic Studies 36
- Bioinformatics and Genomic Networks 20
- Machine Learning in Bioinformatics 18
- Biomedical Text Mining and Ontologies 14
- RNA and protein synthesis mechanisms 8
- Gene expression and cancer classification 8
- Infectious Diseases top 5%
- Spectroscopy top 5%
- Advanced Proteomics Techniques and Applications 17
- Animal Science and Zoology top 5%
- Co-authors
- Claire O’DonovanTunca DoğanRengül Çetin-AtalayAhmet Süreyya RifaioğluVolkan AtalaySangya PundirTony SawfordRachael P. Huntley
- Partner nations
- United KingdomUnited StatesSpain
In The Last Decade
María Martin
81 papers receiving 4.3k citations
Hit Papers
Peers
Comparison fields: 5 of 162
- Computational Theory and Mathematics 842
- Molecular Biology 3.1k
- Infectious Diseases 328
- Spectroscopy 291
- Animal Science and Zoology 150
Countries citing papers authored by María Martin
This map shows the geographic impact of María Martin's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by María Martin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites María Martin more than expected).
Fields of papers citing papers by María Martin
This network shows the impact of papers produced by María Martin. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by María Martin. The network helps show where María Martin may publish in the future.
Co-authorship network
The 25 scholars most cited alongside María Martin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 2 | |
| 2 | 2023 | 35 | |
| 3 | 2023 | 16 | |
| 4 | 2021 | 6 | |
| 5 | 2021 | 26 | |
| 6 | 2020 | 33 | |
| 7 | 2019 | 28 | |
| 8 | 2018 | 26 | |
| 9 | 2018 | 28 | |
| 10 | 2017 | 42 | |
| 11 | 2012 | 1 | |
| 12 | 2012 | 196 | |
| 13 | 2011 | 20 | |
| 14 | 2011 | 24 | |
| 15 | 2003 | 17 | |
| 16 | 1999 | 6 | |
| 17 | SPTR - A comprehensive, non-redundant and up-to-date view of the protein sequence world. | 1998 | 3 |
| 18 | 1998 | 19 | |
| 19 | 1998 | 43 | |
| 20 | 1995 | 2 |
About María Martin
María Martin is a scholar working on Spectroscopy, Molecular Biology and Information Systems and Management, having authored 81 papers that have together received 4.3k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (36 papers), Bioinformatics and Genomic Networks (20 papers), Machine Learning in Bioinformatics (18 papers), Advanced Proteomics Techniques and Applications (17 papers), Biomedical Text Mining and Ontologies (14 papers), RNA and protein synthesis mechanisms (8 papers), Gene expression and cancer classification (8 papers) and Computational Drug Discovery Methods (6 papers). The work is most often cited by research in Computational Theory and Mathematics (842 citations), Molecular Biology (3.1k citations) and Infectious Diseases (328 citations). María Martin has collaborated with scholars based in United Kingdom, United States and Spain. Frequent co-authors include Claire O’Donovan, Tunca Doğan, Rengül Çetin-Atalay, Ahmet Süreyya Rifaioğlu, Volkan Atalay, Sangya Pundir, Tony Sawford, Rachael P. Huntley, Milot Mirdita and Martin Steinegger. Their work appears in journals such as Nucleic Acids Research, Bioinformatics and PLoS ONE.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.